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GAS-PIPELINE BEHAVIOR AND INTERACTION WITH SOIL BY LANDSLIDES

Ing. Martin Magura PhD., Ing. Jan Brodniansky PhD

Abstract

In structural engineering of various reconstructions, it is very often necessary to monitor the stress level in the structure. Measurement of strain is then used to analyse additional load effects for which the structures were not designed. Such tasks are particularly challenging in-situ, where the measuring system is exposed to extreme conditions that are vastly different compared to the laboratory setting. The proper choice of sensors is necessary in order to achieve relevant results, but the quality of the design applications is perhaps equally important. Transit gas pipe-lines (TP) pass through different topographies and these areas are in many cases endangered by landslides. The stress level on the pipe-line is influenced not only by gas pressure, but also by the adjacent soil, the thickness of existing covering layers, and the soil movements (sinking, landslides, etc.). The stress level may be unevenly spread over the pipe as a result of these effects. The value of the resistance reserve of steel material can be adjusted if each loading case is analysed in detail. This reserve can then be used in assessments of a pipelineпїЅs actual state for the purpose of reconstructions. A detailed analysis of such loading and its comparison with the simple theory of elasticity is shown in this article. The expected increases of stress level in the lines can also be obtained from the complex theoretical finite element model where the boundary conditions change according to the example landslides. These models have great software and hardware requirements and are therefore difficult to use in industrial practice. To simplify the models, a parametric study was prepared. The study makes it possible to easily determine the values of additional stress depending on the length and the value of landslides obtained from the graphs. The functionality of these models and the results of graph methods have been validated by experimental tests in a scale of 1:1.

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DOI resolver: doi.org/10.5593/sgem2017h/15/s06.026

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